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Merchant ship classification in high-resolution SAR image based on joint superstructure scattering features.

Authors :
Wang, Xiaolong
Liu, Chang
Li, Zhiyong
Zhang, Xin
Dong, Xubing
Source :
Imaging Science Journal. Jul-Dec2021, Vol. 69 Issue 5-8, p270-274. 5p.
Publication Year :
2021

Abstract

Ship classification has long been a challenging task in synthetic aperture radar (SAR) applications. With the improvement of SAR resolution, it has gradually become possible based on high-resolution SAR images. This letter presents a joint feature representation method for characterizing the superstructure scattering features of merchant ships, and then a hierarchical scheme for classifying merchant ships in high-resolution SAR images based on integrated macro and detailed superstructure features is proposed. Comprehensive experiment on three types of high-resolution SAR samples demonstrates that the proposed features and method have the ability to improve the performance of merchant ship classification in SAR images. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13682199
Volume :
69
Issue :
5-8
Database :
Academic Search Index
Journal :
Imaging Science Journal
Publication Type :
Academic Journal
Accession number :
162512255
Full Text :
https://doi.org/10.1080/13682199.2022.2157959